Context Window

Compare

DeepSeek V3.2 Exp vs Gpt 5 3 Chat Latest

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Deepseek

Model

DeepSeek V3.2 Exp

Tool calling

Context window

164K

163,840 tokens · ~123K words

Model page
Openai

Model

Gpt 5 3 Chat Latest

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

DeepSeek V3.2 Exp164K
Gpt 5 3 Chat Latest128K

DeepSeek V3.2 Exp has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

DeepSeek V3.2 Exp has 28% more context capacity (163K vs 128K tokens). DeepSeek V3.2 Exp is 88% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use DeepSeek V3.2 Exp. Its 163K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use DeepSeek V3.2 Exp. Input tokens are 88% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use DeepSeek V3.2 Exp. Its 163K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecDeepSeek V3.2 ExpGpt 5 3 Chat Latest
Context window163,840 tokens (163K)128,000 tokens (128K)
Max output tokens163,840 tokens (163K)16,384 tokens (16K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingNoYes
Batch APINoNo
Release dateSep 2025N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderDeepSeek V3.2 Exp inDeepSeek V3.2 Exp outGpt 5 3 Chat Latest inGpt 5 3 Chat Latest out
Novita$0.270/M$0.410/M——
Openai——$1.75/M$14.00/M
Openrouter$0.200/M$0.400/M——

Frequently asked questions

DeepSeek V3.2 Exp has a larger context window: 163K tokens vs 128K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model